STOCK PRICE TREND FORECASTING USING SUPERVISED LEARNING METHODS

Abstract

One of the objectives of the research is to investigate a range o f
forecasting approaches for projecting future stock returns based
on prior returns and numerical news indicators in order to
construct a portfolio of various shares and diversify risk. We d o
this by gaining a grasp of the apparently chaotic market data via
the use of supervised learning algorithms for stock price
forecasts.